Covers the expected resume content from both columns, including work experience, education, skills, certifications, and languages.
What was measured
Field coverage
Are name, email, phone, experience, education, and skills extracted?
decisive for this rankingtransformation
A resume parser should extract the key canonical fields; missing them means it is not doing the main job well. (3 of 3 judges)
What was given, what came back
Test input: Multi-column sidebar resume — Priya Sharma · pdf · group: resume-parsing
Input — what we sent
Research media image.png
Multi-column sidebar resume — Priya Sharma
A two-column sidebar resume for Priya Sharma, used to test whether parsers can preserve reading order and correctly extract content split across columns.
Why this input is hard
- · multi-column layout handling
- · sidebar content extraction
- · reading-order robustness
- · projects extraction
- · languages and certifications extraction
Also checked on this input — same tool, 4 other criteria
Accuracy✓ WorkedCorrectly extracts the dedicated spoken-languages list as English, Hindi, and Marathi from the right-side LANGUAGES section.Accuracy◐ MixedLeaves the CGPA embedded in the education description string instead of surfacing it as a dedicated numeric field.Multi-column handling✓ WorkedCorrectly parses a two-column sidebar layout without requiring any layout configuration.Output quality✓ WorkedReturns an excellent, clean JSON result that captures both columns completely and avoids irrelevant metadata.
Provenance
- Observation
- 9d73e6da-0cca-4520-88b0-d45d6c6882b7
- Evidence run
- cbbef4db-964c-49fa-a57f-a2977822bdfc
- Study
- Parse resumes into structured data using an API
- Research task
- 86b9jm30n
- Tested at
- not recorded
- Source
- first-party
- Evidence state
- verified
- Proof shown
- input + output shown
- Cost / latency
- not captured
- Repeat run
- not captured
- Tester
- not captured
The last three rows are honest blanks, not placeholders — our capture has no field for them yet.
Query this
get_evidence({
tool: "extracta-labs",
scenario: "resume-parsing"
})MCP · mcp.aidemos.com/api/mcp
Free with attribution.
Same input, same check — 4 other tools
measured on Field coverage
Airparser✓ WorkedCovers the six core fields from a two-column resume, including split-header contact info, work experience, education, and skills.Hireability✗ FailedSix visible contact fields — GivenName, FamilyName, Email, Phone, LinkedIn, and Address — came back empty on the multi-column resume.LlamaParse✓ WorkedThe multi-column output included the core resume fields and the sidebar-specific sections, including name, email, phone, experience, education, skills, certifications, languages, and projects.Skima AI◐ MixedThe parser extracted the basic identity and work-history fields, but it did not fully return the core six-field resume set because skills from the sidebar were missing.
This evidence is published in
Real inputs and real outputs, no retouching · every cell queryable via API & MCP · aidemos.com